Triple
T3883242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinea Worm Eradication Program |
E92874
|
entity |
| Predicate | initiallyEndemicCountries |
P51611
|
FINISHED |
| Object | over 20 countries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 20 countries | Statement: [Guinea Worm Eradication Program, initiallyEndemicCountries, over 20 countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyEndemicCountries Context triple: [Guinea Worm Eradication Program, initiallyEndemicCountries, over 20 countries]
-
A.
isEndemicTo
Indicates that something naturally occurs and is restricted to a particular geographic area or region.
-
B.
hardestHitCountryByEarlySpread
Indicates the country that was most severely affected during the initial phase of a disease or phenomenon’s spread.
-
C.
globalCasesEstimate
Indicates an estimated total number of cases of a phenomenon or condition across all regions worldwide.
-
D.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
E.
affectedCountry
Indicates that a particular country is impacted or influenced by an event, action, or condition.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.